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A novel MCMC detection algorithm in MEMO systems is proposed. The Gibbs samples are initialized through a new way after integrating the Minimum Mean Square Error soft-interference-cancellation (SIC-MMSE) algorithm and the convergence of the Markov chain is accelerated. Comparison with the conventional MCMC algorithm shows the novel algorithm performs better with equal number of Gibbs samples, that...
Most current translation assignments and tests are evaluated in manual work instead of machine, as automatic translation assessment has been considered to be very difficult. In this paper, a system was proposed to evaluate the quality of translation based on semantic similarities and fuzzy neartude. The experiment results are promising and indicate that the system can identify the semantic characteristics...
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